Adaptability

AI Skills for Responsible Use

AI Skills for Responsible Use

Realistic learning environments, critical thinking, and role design in teams
Valentin Langholf ORCID Icon, Niklas Obermann ORCID Icon, Uta Wilkens ORCID Icon, Marco Kuhnke, Michael Prüfer
Artificial intelligence (AI) is changing the world of work. But how can work teams learn to use AI support in a way that delivers speed advantages and ensures consistently high quality? One possible approach is to test it in a workplace-like simulation. Trying it out under realistic conditions shows the role that critical thinking plays.
Industry 4.0 Science | Volume 42 | Edition 1 | Pages 100-107 | DOI 10.30844/I4SE.26.1.92
Adapting AI Work Systems for Human-Centeredness

Adapting AI Work Systems for Human-Centeredness

A methodical approach for exploring the design space in transdisciplinary teams
Florian Bülow, Michael Herzog, Sophie Berretta ORCID Icon, Dominik Arnold, Christian Els, Bernd Kuhlenkötter ORCID Icon
Designing adaptations in AI-based work systems poses a central challenge for achieving human-centered AI (HCAI). This paper presents a methodical approach that enables transdisciplinary teams to systematically explore and structure the design space of adaptable work systems. Building on an extended work system model and operationalized through a matrix-based framework, the method supports the identification of interdependencies, stakeholder perspectives, and context-specific goals. Its practical applicability is demonstrated through a real-world case study in radiographic non-destructive testing.
Industry 4.0 Science | Volume 42 | Edition 1 | Pages 44-53 | DOI 10.30844/I4SE.26.1.136
Production Control in Space

Production Control in Space

An AI-supported approach for industry in orbit
Dominik Augenstein, Lara Jovic
Production in space, of semiconductors for example, offers many advantages for companies. At the same time, high transport costs mean that careful consideration must be given to the production materials being transported. The use of Kalman filters enables (real-time) control from Earth, making space production a cost-efficient option. Machine learning could make it a viable approach even for highly complex production systems.
Industry 4.0 Science | Volume 41 | 2025 | Edition 6 | Pages 22-29
Data-Driven Assistance Systems in the Working Environment

Data-Driven Assistance Systems in the Working Environment

Efficient development of target group-specific BI dashboards in companies
Martin Schmauder ORCID Icon, Gritt Ott ORCID Icon, Martin Hahmann
Dashboards play a key role in informed business decisions. Based on findings from an action research process, this article shows how company-specific solutions can be systematically developed and bad investments avoided. The provision of IT capacities, securing data access, formulating requirements, and developing the data model prove to be particularly critical.
Industry 4.0 Science | Volume 41 | 2025 | Edition 5 | Pages 136-143 | DOI 10.30844/I4SE.25.5.130
Developing Data Standards in Battery Cell Manufacturing

Developing Data Standards in Battery Cell Manufacturing

From requirements analysis to standard development procedure
David Roth, Tom Hülsmann, Felix Tidde
The growing demand for battery cells offers significant potential for the use of digital solutions in their manufacture, which in turn creates opportunities for added value through adaptive and flexible production systems. A key enabler is interoperable data exchange based on formalized data descriptions. Existing ontologies and information models remain too abstract for direct implementation. This paper presents a requirements analysis of data standards in battery cell manufacturing. A procedure for developing domain-specific standards based on OPC UA (Open Platform Communications Unified Architecture) is derived from the results.
Industry 4.0 Science | Volume 41 | 2025 | Edition 4 | Pages 96-103
Proactive Skill Development in Logistics Management

Proactive Skill Development in Logistics Management

The future of dynamic work contexts
Michael Heins
Smooth logistics management is fundamental for companies to function effectively. This is challenged by actor- and organization-related barriers in production planning and management. The Berufliche Hochschule Hamburg fosters the skills that individuals need to overcome obstacles in digitalized working environments. This concept is presented in the following article.
Industry 4.0 Science | Volume 41 | 2025 | Edition 4 | Pages 22-28
Boosting Competitiveness in Small Batch Production

Boosting Competitiveness in Small Batch Production

Scalable and flexible body-in-white production line with collaborative mobile robots
Walid Elleuch, Tadele Belay Tuli ORCID Icon, Martin Manns ORCID Icon
Due to the higher customization of products to customer groups and needs, body-in-white manufacturing industries are facing higher variant assembly at the later stages of the production line, thus increasing production costs per unit. Flexible production processes that involve flexible material flows, non-rigid manufacturing sequences, and the automatic reconfiguration of tools are regarded as the pillars of a resilient production system. This article presents a conceptual solution for flexible Body-in-White sheet metal production with autonomous collaborative robotic systems to make product costs affordable for a higher competitive advantage.
Industry 4.0 Science | Volume 41 | Edition 2 | Pages 60-67
Increasing Supply Chain Resilience with Reverse Logistics

Increasing Supply Chain Resilience with Reverse Logistics

Hypotheses for a value model
Jürgen Hamann ORCID Icon, Christoph Wenig ORCID Icon
Manufacturing companies incorporate reverse logistics as a building block of the circular economy for greater sustainability. Case studies show that this can result in strategic opportunities. This article summarizes an analysis of expert interviews on the increase in supply chain resilience attributed to reverse logistics. Potential benefits are highlighted, and companies are encouraged to examine the approach and implement innovative solutions. The result is a hypothesis-based value model that serves as an orientation aid for decision-makers.
Industry 4.0 Science | Volume 41 | 2025 | Edition 1 | Pages 34-40
Assembly in Transition

Assembly in Transition

Empirical results of digitalization
Herwig Winkler ORCID Icon
Assembly is an important part of industrial production and is also characterized by a high proportion of manual work. Manufacturing companies have an intrinsic interest in increasing personnel productivity and preventing unit labor costs from rising. Many thus hope to gain economic benefits by implementing digitalization projects. The potential of digitalization in assembly must be exploited to achieve these goals.
Industry 4.0 Science | Volume 41 | 2025 | Edition 1 | Pages 42-49
Double Transformation in Mechanical and Plant Engineering

Double Transformation in Mechanical and Plant Engineering

Digitalization and sustainability for one-of-a-kind and small-batch manufacturers
Christoph Laroque ORCID Icon, Deike Gliem ORCID Icon, Sigrid Wenzel ORCID Icon
A decisive competitive factor for smaller and medium-sized manufacturers of one-of-a-kind and small batches is their products’ timely completion, delivery and commissioning. Precise logistics planning is just as important as production control. However, the processes are often characterized by uncertainties, e.g. due to local conditions at the customer or cooperation with suppliers. Digital shadows for data evaluation in real time offer a convincing solution.
Industry 4.0 Science | Volume 40 | 2024 | Edition 5 | Pages 10-17 | DOI 10.30844/I4SE.24.5.10
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